| QED: using Quality-Environment-Diversity to evolve resilient robot swarms DM Bossens, D Tarapore IEEE Transactions on Evolutionary Computation 25 (2), 346-357, 2020 | 22 | 2020 |
| Learning behaviour-performance maps with meta-evolution DM Bossens, JB Mouret, D Tarapore Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 49-57, 2020 | 20 | 2020 |
| Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation DM Bossens, D Tarapore 2021 IEEE International Conference on Robotics and Automation (ICRA), 9848-9854, 2021 | 13 | 2021 |
| Learning to learn with active adaptive perception DM Bossens, NC Townsend, AJ Sobey Neural Networks 115, 30-49, 2019 | 12 | 2019 |
| Explicit Explore, Exploit, or Escape (): near-optimal safety-constrained reinforcement learning in polynomial time DM Bossens, N Bishop Machine Learning, 1-42, 2022 | 8 | 2022 |
| Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective DM Bossens, D Tarapore IEEE Transactions on Evolutionary Computation, 2022 | 8 | 2022 |
| Lifetime policy reuse and the importance of task capacity DM Bossens, AJ Sobey AI Communications, 1-34, 2023 | 4 | 2023 |
| Resilient robot teams: a review integrating decentralised control, change-detection, and learning DM Bossens, S Ramchurn, D Tarapore Current Robotics Reports, 2022 | 4 | 2022 |
| Robust lagrangian and adversarial policy gradient for robust constrained markov decision processes DM Bossens 2024 IEEE Conference on Artificial Intelligence (CAI), 1227-1239, 2024 | 3 | 2024 |
| ASVLite: a high-performance simulator for autonomous surface vehicles T Thomas, DM Bossens, D Tarapore 2021 IEEE International Conference on Robotics and Automation (ICRA), 2249-2255, 2021 | 2 | 2021 |
| The Digital Ecosystem of Beliefs: does evolution favour AI over humans? DM Bossens, S Feng, YS Ong arXiv preprint arXiv:2412.14500, 2024 | 1 | 2024 |
| On the use of feature-maps for improved quality-diversity meta-evolution DM Bossens, D Tarapore Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 1 | 2021 |
| Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration H Zhao, X Yu, DM Bossens, I Tsang, Q Gu The Thirteenth International Conference on Learning Representations, 2025 | | 2025 |
| Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration X Yu, Z Wan, DM Bossens, Y Lyu, Q Guo, IW Tsang arXiv preprint arXiv:2411.06965, 2024 | | 2024 |
| Quality Diversity Imitation Learning Z Wan, X Yu, DM Bossens, Y Lyu, Q Guo, FX Fan, I Tsang arXiv preprint arXiv:2410.06151, 2024 | | 2024 |
| Mapping the complexity of legal challenges for trustworthy drones on construction sites in the United Kingdom J Krook, D Bossens, P Winter, S Araujo-Estrada, J Downer, S Windsor ACM Journal on Responsible Computing 1 (3), 1-26, 2024 | | 2024 |
| Low Variance Off-policy Evaluation with State-based Importance Sampling DM Bossens, PS Thomas 2024 IEEE Conference on Artificial Intelligence (CAI), 871-883, 2024 | | 2024 |
| Quantum Policy Gradient in Reproducing Kernel Hilbert Space DM Bossens, K Bharti, J Thompson | | 2024 |
| Trust in Language Grounding: a new AI challenge for human-robot teams DM Bossens, C Evers arXiv preprint arXiv:2209.02066, 2022 | | 2022 |
| On the use of feature-maps and parameter control for improved quality-diversity meta-evolution DM Bossens, D Tarapore arXiv preprint arXiv:2105.10317, 2021 | | 2021 |